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首页> 外文会议>IEEE/ASME International Conference on Advanced Intelligent Mechatronics >Intelligent Model-Free Diagnosis for Multiple Faults in a Nonlinear Dynamic System
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Intelligent Model-Free Diagnosis for Multiple Faults in a Nonlinear Dynamic System

机译：无线动态系统中多个故障的无智能模型诊断

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In terms of fault diagnosis, there are two general approaches: model-based and model-free. This paper presents the fault diagnosis techniques for a nonlinear dynamic system with multiple faults using the model-free approach. A new concept for fault detection by means of a real-time tracker was employed to predict the system outputs from which the residuals could be quickly generated. To classify faults and determine the degree of each fault, soft computing techniques: fuzzy logic and neural network were used. This study consists of three parts: diagnosis of single faults before the system reaches its steady state, diagnosis of simultaneous multiple faults and diagnosis of sequential multiple faults. A three-tank nonlinear dynamic system was chosen to demonstrate the presented techniques. The result showed promise in using the model-free approach for the diagnosis of multiple faults.
机译：在故障诊断方面，有两种常规方法：基于模型和无模型。本文介绍了使用无模型方法具有多个故障的非线性动态系统的故障诊断技术。采用实时跟踪器的故障检测的新概念来预测可以快速生成残差的系统输出。要对故障进行分类并确定每个故障，软计算技术的程度：使用模糊逻辑和神经网络。本研究由三个部分组成：在系统达到其稳态之前的单个断层的诊断，诊断同时发生的多个故障和序列多个故障的诊断。选择三箱非线性动态系统以展示所提出的技术。结果显示了使用无模型方法来诊断多个断层的方法。

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